468 search results - page 43 / 94 » Riemannian Manifold Learning |
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
MVA
2007
13 years 9 months ago
2007
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
ICCV
1999
IEEE
13 years 12 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...